Maximum entropy spectral analysis for streamflow forecasting Academic Article

abstract

• 2015 Elsevier B.V. All rights reserved. Configurational entropy spectral analysis (CESAS) is developed with spectral power as a random variable for streamflow forecasting. It is found that the CESAS derived by maximizing the configurational entropy yields the same solution as by the Burg entropy spectral analysis (BESA). Comparison of forecasted streamflows by CESAS and BESA shows less than 0.001% difference between the two analyses and thus the two entropy spectral analyses are concluded to be identical. Thus, the Burg entropy spectral analysis and two configurational entropy spectral analyses form the maximum entropy spectral analysis.

authors

• Singh, Vijay

published proceedings

• PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

author list (cited authors)

• Cui, H., & Singh, V. P.

citation count

• 13

complete list of authors

• Cui, Huijuan||Singh, Vijay P

publication date

• January 2016

publisher

• Elsevier  Publisher

published in

• Physica A: Statistical Mechanics and its Applications  Journal

keywords

• Burg Entropy
• Configurational Entropy
• Spectral Analysis
• Streamflow Forecasting

Digital Object Identifier (DOI)

• 10.1016/j.physa.2015.08.060

start page

• 91

end page

• 99

volume

• 442

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.physa.2015.08.060